Classify One Image

Owner: kzx_x

Predictions

  • 94.78% face
  • 5.22% not face

Job Status Done

  • Initialized at 05:36:36 PM (1 second)
  • Running at 05:36:37 PM (8 seconds)
  • Done at 05:36:45 PM
    (Total - 9 seconds)
  • Initialized at 05:36:36 PM (1 second)
  • Running at 05:36:37 PM (7 seconds)
  • Done at 05:36:45 PM
    (Total - 9 seconds)

Notes

None

Description Statistics Visualization

data

Activation

Data shape: [ 3 224 224]
Mean: 15.895745
Std deviation: 29.12138
Value-52.260.217305000100001500020000250003000035000-52.260.2173

conv1/7x7_s2

Weights (Convolution layer)

9,472 learned parameters

Data shape: [64 3 7 7]
Mean: -2.1111498e-05
Std deviation: 0.08340639
Value-0.184-0.002140.1800100200300400500600-0.184-0.002140.180

conv1/7x7_s2

Activation

Data shape: [ 64 112 112]
Mean: 11.793053
Std deviation: 31.560871
Value0.0044288301000002000003000004000005000006000007000008000000.00442883

pool1/3x3_s2

Activation

Data shape: [64 56 56]
Mean: 20.2426
Std deviation: 39.56237
Value0.004428830200004000060000800001000001200001400001600001800000.00442883

pool1/norm1

Activation

Data shape: [64 56 56]
Mean: 15.817734
Std deviation: 20.598307
Value0.0069.213801000020000300004000050000600007000080000900000.0069.2138

conv2/3x3_reduce

Weights (Convolution layer)

4,160 learned parameters

Data shape: [64 64 1 1]
Mean: -0.0033769973
Std deviation: 0.12615566
Value-0.252-0.002160.248050100150200250-0.252-0.002160.248

conv2/3x3_reduce

Activation

Data shape: [64 56 56]
Mean: 5.283224
Std deviation: 10.525985
Value0.0065.91320200004000060000800001000001200001400001600000.0065.9132

conv2/3x3

Weights (Convolution layer)

110,784 learned parameters

Data shape: [192 64 3 3]
Mean: -0.0040681255
Std deviation: 0.041924927
Value-0.1540.003680.16102000400060008000100001200014000-0.1540.003680.161

conv2/3x3

Activation

Data shape: [192 56 56]
Mean: 2.646848
Std deviation: 7.2267456
Value0.0052.91060500001000001500002000002500003000003500004000004500005000005500000.0052.9106

conv2/norm2

Activation

Data shape: [192 56 56]
Mean: 2.6083398
Std deviation: 7.057347
Value0.0045.490.80500001000001500002000002500003000003500004000004500005000005500000.0045.490.8

pool2/3x3_s2

Activation

Data shape: [192 28 28]
Mean: 4.561051
Std deviation: 9.595973
Value0.0045.490.801000020000300004000050000600007000080000900001000001100001200000.0045.490.8

inception_3a/1x1

Weights (Convolution layer)

12,352 learned parameters

Data shape: [ 64 192 1 1]
Mean: -0.0051996647
Std deviation: 0.06809869
Value-0.201-0.01980.1620200400600800100012001400-0.201-0.01980.162

inception_3a/1x1

Activation

Data shape: [64 28 28]
Mean: 1.2338088
Std deviation: 4.0855665
Value0.0027.254.40500010000150002000025000300003500040000450000.0027.254.4

inception_3a/3x3_reduce

Weights (Convolution layer)

18,528 learned parameters

Data shape: [ 96 192 1 1]
Mean: -0.0039229244
Std deviation: 0.06674095
Value-0.164-0.006940.151020040060080010001200140016001800200022002400-0.164-0.006940.151

inception_3a/3x3_reduce

Activation

Data shape: [96 28 28]
Mean: 1.9098897
Std deviation: 4.3136635
Value0.0019.639.30500010000150002000025000300003500040000450005000055000600000.0019.639.3

inception_3a/3x3

Weights (Convolution layer)

110,720 learned parameters

Data shape: [128 96 3 3]
Mean: -0.0033886035
Std deviation: 0.030653529
Value-0.1050.002910.1110200040006000800010000120001400016000180002000022000-0.1050.002910.111

inception_3a/3x3

Activation

Data shape: [128 28 28]
Mean: 0.5107775
Std deviation: 1.9581809
Value0.0012.023.901000020000300004000050000600007000080000900001000000.0012.023.9

inception_3a/5x5_reduce

Weights (Convolution layer)

3,088 learned parameters

Data shape: [ 16 192 1 1]
Mean: -0.005426912
Std deviation: 0.06593831
Value-0.156-0.001530.153050100150200250300350-0.156-0.001530.153

inception_3a/5x5_reduce

Activation

Data shape: [16 28 28]
Mean: 0.84724766
Std deviation: 3.1475966
Value0.0023.847.601000200030004000500060007000800090001000011000120000.0023.847.6

inception_3a/5x5

Weights (Convolution layer)

12,832 learned parameters

Data shape: [32 16 5 5]
Mean: -0.0028820308
Std deviation: 0.046666056
Value-0.129-0.003390.1220200400600800100012001400-0.129-0.003390.122

inception_3a/5x5

Activation

Data shape: [32 28 28]
Mean: 1.003357
Std deviation: 2.097976
Value0.0013.627.2020004000600080001000012000140001600018000200000.0013.627.2

inception_3a/pool

Activation

Data shape: [192 28 28]
Mean: 7.415684
Std deviation: 12.513404
Value0.0045.490.801000020000300004000050000600007000080000900001000000.0045.490.8

inception_3a/pool_proj

Weights (Convolution layer)

6,176 learned parameters

Data shape: [ 32 192 1 1]
Mean: -0.0035419401
Std deviation: 0.06706252
Value-0.170-0.005200.1590100200300400500600700800-0.170-0.005200.159

inception_3a/pool_proj

Activation

Data shape: [32 28 28]
Mean: 1.8273971
Std deviation: 5.276762
Value0.0022.845.502000400060008000100001200014000160001800020000220000.0022.845.5

inception_3a/output

Activation

Data shape: [256 28 28]
Mean: 0.91768515
Std deviation: 3.2145061
Value0.0027.254.40200004000060000800001000001200001400001600001800000.0027.254.4

inception_3b/1x1

Weights (Convolution layer)

32,896 learned parameters

Data shape: [128 256 1 1]
Mean: -0.003882221
Std deviation: 0.058646053
Value-0.184-0.01640.15105001000150020002500300035004000-0.184-0.01640.151

inception_3b/1x1

Activation

Data shape: [128 28 28]
Mean: 0.8447924
Std deviation: 1.8774197
Value0.0014.028.1010000200003000040000500006000070000800000.0014.028.1

inception_3b/3x3_reduce

Weights (Convolution layer)

32,896 learned parameters

Data shape: [128 256 1 1]
Mean: -0.0032104866
Std deviation: 0.05750208
Value-0.1430.004730.15305001000150020002500300035004000-0.1430.004730.153

inception_3b/3x3_reduce

Activation

Data shape: [128 28 28]
Mean: 0.61590475
Std deviation: 1.4267169
Value0.007.4915.0010000200003000040000500006000070000800000.007.4915.0

inception_3b/3x3

Weights (Convolution layer)

221,376 learned parameters

Data shape: [192 128 3 3]
Mean: -0.0031070423
Std deviation: 0.028595544
Value-0.1150.008470.13205000100001500020000250003000035000-0.1150.008470.132

inception_3b/3x3

Activation

Data shape: [192 28 28]
Mean: 0.19913222
Std deviation: 0.9923753
Value0.0012.625.20200004000060000800001000001200001400000.0012.625.2

inception_3b/5x5_reduce

Weights (Convolution layer)

8,224 learned parameters

Data shape: [ 32 256 1 1]
Mean: -0.0053119143
Std deviation: 0.05756529
Value-0.1370.009830.15701002003004005006007008009001000-0.1370.009830.157

inception_3b/5x5_reduce

Activation

Data shape: [32 28 28]
Mean: 0.39824522
Std deviation: 1.1964451
Value0.005.8011.602000400060008000100001200014000160001800020000220000.005.8011.6

inception_3b/5x5

Weights (Convolution layer)

76,896 learned parameters

Data shape: [96 32 5 5]
Mean: -0.003477482
Std deviation: 0.03461207
Value-0.127-0.01150.1040100020003000400050006000700080009000-0.127-0.01150.104

inception_3b/5x5

Activation

Data shape: [96 28 28]
Mean: 0.3238346
Std deviation: 0.8614486
Value0.005.0110.001000020000300004000050000600000.005.0110.0

inception_3b/pool

Activation

Data shape: [256 28 28]
Mean: 1.6468027
Std deviation: 4.4530735
Value0.0027.254.40200004000060000800001000001200001400001600001800000.0027.254.4

inception_3b/pool_proj

Weights (Convolution layer)

16,448 learned parameters

Data shape: [ 64 256 1 1]
Mean: -0.0035009887
Std deviation: 0.05976755
Value-0.172-0.01060.151020040060080010001200140016001800-0.172-0.01060.151

inception_3b/pool_proj

Activation

Data shape: [64 28 28]
Mean: 0.72165304
Std deviation: 1.9135113
Value0.0010.921.70500010000150002000025000300003500040000450000.0010.921.7

inception_3b/output

Activation

Data shape: [480 28 28]
Mean: 0.4659182
Std deviation: 1.4317728
Value0.0014.028.10500001000001500002000002500003000003500000.0014.028.1

pool3/3x3_s2

Activation

Data shape: [480 14 14]
Mean: 0.8358792
Std deviation: 2.0107877
Value0.0014.028.1010000200003000040000500006000070000800000.0014.028.1

inception_4a/1x1

Weights (Convolution layer)

92,352 learned parameters

Data shape: [192 480 1 1]
Mean: -0.0036747372
Std deviation: 0.043051027
Value-0.1210.005340.131010002000300040005000600070008000900010000110001200013000-0.1210.005340.131

inception_4a/1x1

Activation

Data shape: [192 14 14]
Mean: 0.4584952
Std deviation: 1.4802282
Value0.008.6317.3050001000015000200002500030000350000.008.6317.3

inception_4a/3x3_reduce

Weights (Convolution layer)

46,176 learned parameters

Data shape: [ 96 480 1 1]
Mean: -0.0038105408
Std deviation: 0.043698993
Value-0.137-0.008930.12005001000150020002500300035004000450050005500-0.137-0.008930.120

inception_4a/3x3_reduce

Activation

Data shape: [96 14 14]
Mean: 0.13260795
Std deviation: 0.60858774
Value0.004.689.360200040006000800010000120001400016000180000.004.689.36

inception_4a/3x3

Weights (Convolution layer)

179,920 learned parameters

Data shape: [208 96 3 3]
Mean: -0.0022709607
Std deviation: 0.031992864
Value-0.09810.006390.11102000400060008000100001200014000160001800020000220002400026000-0.09810.006390.111

inception_4a/3x3

Activation

Data shape: [208 14 14]
Mean: 0.16499224
Std deviation: 0.40041065
Value0.002.595.18050001000015000200002500030000350000.002.595.18

inception_4a/5x5_reduce

Weights (Convolution layer)

7,696 learned parameters

Data shape: [ 16 480 1 1]
Mean: -0.0036749819
Std deviation: 0.04126245
Value-0.09950.01140.12202004006008001000120014001600-0.09950.01140.122

inception_4a/5x5_reduce

Activation

Data shape: [16 14 14]
Mean: 0.0029648049
Std deviation: 0.038739607
Value0.000.4370.8740500100015002000250030000.000.4370.874

inception_4a/5x5

Weights (Convolution layer)

19,248 learned parameters

Data shape: [48 16 5 5]
Mean: -0.0017051359
Std deviation: 0.045063667
Value-0.122-0.006230.11005001000150020002500300035004000-0.122-0.006230.110

inception_4a/5x5

Activation

Data shape: [48 14 14]
Mean: 0.22764623
Std deviation: 0.05776236
Value0.000.2900.579020040060080010001200140016001800200022000.000.2900.579

inception_4a/pool

Activation

Data shape: [480 14 14]
Mean: 1.4313837
Std deviation: 2.7925322
Value0.0014.028.10100002000030000400005000060000700000.0014.028.1

inception_4a/pool_proj

Weights (Convolution layer)

30,784 learned parameters

Data shape: [ 64 480 1 1]
Mean: -0.002303503
Std deviation: 0.0439739
Value-0.127-0.006850.113050010001500200025003000-0.127-0.006850.113

inception_4a/pool_proj

Activation

Data shape: [64 14 14]
Mean: 1.671999
Std deviation: 3.7871065
Value0.0012.525.10100020003000400050006000700080009000100000.0012.525.1

inception_4a/output

Activation

Data shape: [512 14 14]
Mean: 0.46930552
Std deviation: 1.7040601
Value0.0012.525.101000020000300004000050000600007000080000900001000000.0012.525.1

inception_4b/1x1

Weights (Convolution layer)

82,080 learned parameters

Data shape: [160 512 1 1]
Mean: -0.0022355916
Std deviation: 0.04066393
Value-0.128-0.01120.10501000200030004000500060007000800090001000011000-0.128-0.01120.105

inception_4b/1x1

Activation

Data shape: [160 14 14]
Mean: 0.6971855
Std deviation: 1.5826508
Value0.006.6413.3020004000600080001000012000140001600018000200002200024000260000.006.6413.3

inception_4b/3x3_reduce

Weights (Convolution layer)

57,456 learned parameters

Data shape: [112 512 1 1]
Mean: -0.0034456376
Std deviation: 0.039655626
Value-0.142-0.01570.111010002000300040005000600070008000900010000-0.142-0.01570.111

inception_4b/3x3_reduce

Activation

Data shape: [112 14 14]
Mean: 0.21884933
Std deviation: 0.72055477
Value0.003.917.82020004000600080001000012000140001600018000200000.003.917.82

inception_4b/3x3

Weights (Convolution layer)

226,016 learned parameters

Data shape: [224 112 3 3]
Mean: -0.002252083
Std deviation: 0.028405
Value-0.0968-0.0009430.09490500010000150002000025000300003500040000-0.0968-0.0009430.0949

inception_4b/3x3

Activation

Data shape: [224 14 14]
Mean: 0.3099807
Std deviation: 0.7781405
Value0.004.228.44050001000015000200002500030000350000.004.228.44

inception_4b/5x5_reduce

Weights (Convolution layer)

12,312 learned parameters

Data shape: [ 24 512 1 1]
Mean: -0.0027486652
Std deviation: 0.04091463
Value-0.126-0.01070.10502004006008001000120014001600-0.126-0.01070.105

inception_4b/5x5_reduce

Activation

Data shape: [24 14 14]
Mean: 0.4969656
Std deviation: 1.4637141
Value0.006.3612.7050010001500200025003000350040000.006.3612.7

inception_4b/5x5

Weights (Convolution layer)

38,464 learned parameters

Data shape: [64 24 5 5]
Mean: -0.0024261589
Std deviation: 0.03834236
Value-0.119-0.006940.105050010001500200025003000350040004500-0.119-0.006940.105

inception_4b/5x5

Activation

Data shape: [64 14 14]
Mean: 0.5686822
Std deviation: 1.2827212
Value0.005.5011.00100020003000400050006000700080009000100000.005.5011.0

inception_4b/pool

Activation

Data shape: [512 14 14]
Mean: 0.7404624
Std deviation: 2.2439716
Value0.0012.525.101000020000300004000050000600007000080000900000.0012.525.1

inception_4b/pool_proj

Weights (Convolution layer)

32,832 learned parameters

Data shape: [ 64 512 1 1]
Mean: -0.0026225569
Std deviation: 0.040132184
Value-0.123-0.004780.11305001000150020002500300035004000450050005500-0.123-0.004780.113

inception_4b/pool_proj

Activation

Data shape: [64 14 14]
Mean: 1.111037
Std deviation: 2.51029
Value0.007.4114.80100020003000400050006000700080009000100000.007.4114.8

inception_4b/output

Activation

Data shape: [512 14 14]
Mean: 0.56345195
Std deviation: 1.4533411
Value0.007.4114.8010000200003000040000500006000070000800000.007.4114.8

inception_4c/1x1

Weights (Convolution layer)

65,664 learned parameters

Data shape: [128 512 1 1]
Mean: -0.0027247814
Std deviation: 0.040319834
Value-0.1170.0007580.118010002000300040005000600070008000900010000-0.1170.0007580.118

inception_4c/1x1

Activation

Data shape: [128 14 14]
Mean: 0.4214816
Std deviation: 1.3648652
Value0.007.6515.30200040006000800010000120001400016000180002000022000240000.007.6515.3

inception_4c/3x3_reduce

Weights (Convolution layer)

65,664 learned parameters

Data shape: [128 512 1 1]
Mean: -0.003531463
Std deviation: 0.03829798
Value-0.153-0.02330.10702000400060008000100001200014000-0.153-0.02330.107

inception_4c/3x3_reduce

Activation

Data shape: [128 14 14]
Mean: 0.09083504
Std deviation: 0.43785068
Value0.003.066.120200040006000800010000120001400016000180002000022000240000.003.066.12

inception_4c/3x3

Weights (Convolution layer)

295,168 learned parameters

Data shape: [256 128 3 3]
Mean: -0.0022933087
Std deviation: 0.025441466
Value-0.110-0.01240.0855010000200003000040000500006000070000-0.110-0.01240.0855

inception_4c/3x3

Activation

Data shape: [256 14 14]
Mean: 0.15034634
Std deviation: 0.4214139
Value0.002.535.060500010000150002000025000300003500040000450000.002.535.06

inception_4c/5x5_reduce

Weights (Convolution layer)

12,312 learned parameters

Data shape: [ 24 512 1 1]
Mean: -0.004682597
Std deviation: 0.04015619
Value-0.129-0.003080.1230200400600800100012001400160018002000-0.129-0.003080.123

inception_4c/5x5_reduce

Activation

Data shape: [24 14 14]
Mean: 0.01042436
Std deviation: 0.13216482
Value0.001.432.8605001000150020002500300035004000450050000.001.432.86

inception_4c/5x5

Weights (Convolution layer)

38,464 learned parameters

Data shape: [64 24 5 5]
Mean: -0.0023609528
Std deviation: 0.038161874
Value-0.119-0.0002280.119050010001500200025003000350040004500-0.119-0.0002280.119

inception_4c/5x5

Activation

Data shape: [64 14 14]
Mean: 0.1857628
Std deviation: 0.11081905
Value0.000.6381.280500100015002000250030003500400045005000550060000.000.6381.28

inception_4c/pool

Activation

Data shape: [512 14 14]
Mean: 0.8292582
Std deviation: 1.842007
Value0.007.4114.8010000200003000040000500006000070000800000.007.4114.8

inception_4c/pool_proj

Weights (Convolution layer)

32,832 learned parameters

Data shape: [ 64 512 1 1]
Mean: -0.0031512086
Std deviation: 0.040760424
Value-0.128-0.01520.0973050010001500200025003000350040004500-0.128-0.01520.0973

inception_4c/pool_proj

Activation

Data shape: [64 14 14]
Mean: 0.99109954
Std deviation: 3.0131314
Value0.009.1118.2010002000300040005000600070008000900010000110000.009.1118.2

inception_4c/output

Activation

Data shape: [512 14 14]
Mean: 0.32765138
Std deviation: 1.3290489
Value0.009.1118.201000020000300004000050000600007000080000900001000000.009.1118.2

inception_4d/1x1

Weights (Convolution layer)

57,456 learned parameters

Data shape: [112 512 1 1]
Mean: -0.0027741364
Std deviation: 0.04096009
Value-0.124-0.0005030.12301000200030004000500060007000-0.124-0.0005030.123

inception_4d/1x1

Activation

Data shape: [112 14 14]
Mean: 0.26873976
Std deviation: 0.77438
Value0.004.028.03020004000600080001000012000140001600018000200000.004.028.03

inception_4d/3x3_reduce

Weights (Convolution layer)

73,872 learned parameters

Data shape: [144 512 1 1]
Mean: -0.004055005
Std deviation: 0.040775795
Value-0.1130.007110.127010002000300040005000600070008000900010000-0.1130.007110.127

inception_4d/3x3_reduce

Activation

Data shape: [144 14 14]
Mean: 0.021788262
Std deviation: 0.12145944
Value0.001.172.3405000100001500020000250000.001.172.34

inception_4d/3x3

Weights (Convolution layer)

373,536 learned parameters

Data shape: [288 144 3 3]
Mean: -0.002670501
Std deviation: 0.026213419
Value-0.0954-0.0009440.0936050001000015000200002500030000350004000045000500005500060000-0.0954-0.0009440.0936

inception_4d/3x3

Activation

Data shape: [288 14 14]
Mean: 0.1391577
Std deviation: 0.13061365
Value0.001.232.450500010000150002000025000300000.001.232.45

inception_4d/5x5_reduce

Weights (Convolution layer)

16,416 learned parameters

Data shape: [ 32 512 1 1]
Mean: -0.0034234447
Std deviation: 0.04067265
Value-0.1080.008250.12402004006008001000120014001600180020002200-0.1080.008250.124

inception_4d/5x5_reduce

Activation

Data shape: [32 14 14]
Mean: 0.13380407
Std deviation: 0.43338898
Value0.001.713.41050010001500200025003000350040004500500055000.001.713.41

inception_4d/5x5

Weights (Convolution layer)

51,264 learned parameters

Data shape: [64 32 5 5]
Mean: -0.0028978037
Std deviation: 0.033524144
Value-0.111-0.007060.09740100020003000400050006000-0.111-0.007060.0974

inception_4d/5x5

Activation

Data shape: [64 14 14]
Mean: 0.11974518
Std deviation: 0.2594968
Value0.001.082.160100020003000400050006000700080009000100000.001.082.16

inception_4d/pool

Activation

Data shape: [512 14 14]
Mean: 0.45250914
Std deviation: 1.6216152
Value0.009.1118.201000020000300004000050000600007000080000900001000000.009.1118.2

inception_4d/pool_proj

Weights (Convolution layer)

32,832 learned parameters

Data shape: [ 64 512 1 1]
Mean: -0.0027412619
Std deviation: 0.04183445
Value-0.1150.01120.13805001000150020002500300035004000-0.1150.01120.138

inception_4d/pool_proj

Activation

Data shape: [64 14 14]
Mean: 0.707949
Std deviation: 1.71864
Value0.004.949.880100020003000400050006000700080009000100000.004.949.88

inception_4d/output

Activation

Data shape: [528 14 14]
Mean: 0.23323615
Std deviation: 0.73257625
Value0.004.949.8801000020000300004000050000600007000080000900001000000.004.949.88

inception_4e/1x1

Weights (Convolution layer)

135,424 learned parameters

Data shape: [256 528 1 1]
Mean: -0.003296888
Std deviation: 0.04094086
Value-0.144-0.0009920.14202000400060008000100001200014000160001800020000-0.144-0.0009920.142

inception_4e/1x1

Activation

Data shape: [256 14 14]
Mean: 0.18157828
Std deviation: 0.49357665
Value0.002.414.820500010000150002000025000300003500040000450000.002.414.82

inception_4e/3x3_reduce

Weights (Convolution layer)

84,640 learned parameters

Data shape: [160 528 1 1]
Mean: -0.0029206132
Std deviation: 0.040551115
Value-0.1350.002790.141020004000600080001000012000-0.1350.002790.141

inception_4e/3x3_reduce

Activation

Data shape: [160 14 14]
Mean: 0.20573266
Std deviation: 0.54016465
Value0.002.525.04020004000600080001000012000140001600018000200002200024000260000.002.525.04

inception_4e/3x3

Weights (Convolution layer)

461,120 learned parameters

Data shape: [320 160 3 3]
Mean: -0.0028694193
Std deviation: 0.024237761
Value-0.190-0.03980.111020000400006000080000100000120000-0.190-0.03980.111

inception_4e/3x3

Activation

Data shape: [320 14 14]
Mean: 0.09046223
Std deviation: 0.40661594
Value0.005.2910.6050001000015000200002500030000350004000045000500005500060000650000.005.2910.6

inception_4e/5x5_reduce

Weights (Convolution layer)

16,928 learned parameters

Data shape: [ 32 528 1 1]
Mean: -0.0046349987
Std deviation: 0.039697494
Value-0.1100.02050.1510200400600800100012001400160018002000220024002600-0.1100.02050.151

inception_4e/5x5_reduce

Activation

Data shape: [32 14 14]
Mean: 0.057234187
Std deviation: 0.2438025
Value0.001.222.450500100015002000250030003500400045005000550060000.001.222.45

inception_4e/5x5

Weights (Convolution layer)

102,528 learned parameters

Data shape: [128 32 5 5]
Mean: -0.0016579591
Std deviation: 0.032331962
Value-0.110-0.009150.091902000400060008000100001200014000-0.110-0.009150.0919

inception_4e/5x5

Activation

Data shape: [128 14 14]
Mean: 0.1371834
Std deviation: 0.22648187
Value0.000.9311.8602000400060008000100001200014000160000.000.9311.86

inception_4e/pool

Activation

Data shape: [528 14 14]
Mean: 0.32230327
Std deviation: 0.86242497
Value0.004.949.8801000020000300004000050000600007000080000900001000000.004.949.88

inception_4e/pool_proj

Weights (Convolution layer)

67,712 learned parameters

Data shape: [128 528 1 1]
Mean: -0.0029663406
Std deviation: 0.041045234
Value-0.117-0.003610.110010002000300040005000600070008000-0.117-0.003610.110

inception_4e/pool_proj

Activation

Data shape: [128 14 14]
Mean: 0.39799267
Std deviation: 0.8860062
Value0.002.775.55020004000600080001000012000140001600018000200000.002.775.55

inception_4e/output

Activation

Data shape: [832 14 14]
Mean: 0.1729982
Std deviation: 0.52710545
Value0.005.2910.60200004000060000800001000001200001400001600000.005.2910.6

pool4/3x3_s2

Activation

Data shape: [832 7 7]
Mean: 0.23485562
Std deviation: 0.6296953
Value0.005.2910.6050001000015000200002500030000350000.005.2910.6

inception_5a/1x1

Weights (Convolution layer)

213,248 learned parameters

Data shape: [256 832 1 1]
Mean: -0.0028460799
Std deviation: 0.03162038
Value-0.160-0.01450.131050001000015000200002500030000350004000045000-0.160-0.01450.131

inception_5a/1x1

Activation

Data shape: [256 7 7]
Mean: 0.103092395
Std deviation: 0.3926257
Value0.002.204.3901000200030004000500060007000800090001000011000120000.002.204.39

inception_5a/3x3_reduce

Weights (Convolution layer)

133,280 learned parameters

Data shape: [160 832 1 1]
Mean: -0.0030459755
Std deviation: 0.030901847
Value-0.09000.01810.12602000400060008000100001200014000160001800020000220002400026000-0.09000.01810.126

inception_5a/3x3_reduce

Activation

Data shape: [160 7 7]
Mean: 0.05742527
Std deviation: 0.36655414
Value0.002.715.420100020003000400050006000700080000.002.715.42

inception_5a/3x3

Weights (Convolution layer)

461,120 learned parameters

Data shape: [320 160 3 3]
Mean: -0.0021833733
Std deviation: 0.023219282
Value-0.120-0.009640.1010100002000030000400005000060000700008000090000100000110000120000-0.120-0.009640.101

inception_5a/3x3

Activation

Data shape: [320 7 7]
Mean: 0.044011615
Std deviation: 0.12923574
Value0.000.9611.92020004000600080001000012000140000.000.9611.92

inception_5a/5x5_reduce

Weights (Convolution layer)

26,656 learned parameters

Data shape: [ 32 832 1 1]
Mean: -0.003782123
Std deviation: 0.030502819
Value-0.07540.02130.11805001000150020002500300035004000450050005500-0.07540.02130.118

inception_5a/5x5_reduce

Activation

Data shape: [32 7 7]
Mean: 0.06921652
Std deviation: 0.4338715
Value0.002.775.53020040060080010001200140016000.002.775.53

inception_5a/5x5

Weights (Convolution layer)

102,528 learned parameters

Data shape: [128 32 5 5]
Mean: -0.0017150099
Std deviation: 0.030654358
Value-0.108-0.003630.10102000400060008000100001200014000160001800020000-0.108-0.003630.101

inception_5a/5x5

Activation

Data shape: [128 7 7]
Mean: 0.12303548
Std deviation: 0.19010043
Value0.000.9521.90050010001500200025003000350040000.000.9521.90

inception_5a/pool

Activation

Data shape: [832 7 7]
Mean: 0.32769677
Std deviation: 0.76371247
Value0.005.2910.6050001000015000200002500030000350000.005.2910.6

inception_5a/pool_proj

Weights (Convolution layer)

106,624 learned parameters

Data shape: [128 832 1 1]
Mean: -0.002634529
Std deviation: 0.03218504
Value-0.169-0.003380.163020004000600080001000012000140001600018000200002200024000-0.169-0.003380.163

inception_5a/pool_proj

Activation

Data shape: [128 7 7]
Mean: 0.19790046
Std deviation: 0.771549
Value0.003.406.800500100015002000250030003500400045005000550060000.003.406.80

inception_5a/output

Activation

Data shape: [832 7 7]
Mean: 0.09802305
Std deviation: 0.3921217
Value0.003.406.8005000100001500020000250003000035000400000.003.406.80

inception_5b/1x1

Weights (Convolution layer)

319,872 learned parameters

Data shape: [384 832 1 1]
Mean: -0.0016116529
Std deviation: 0.031286377
Value-0.1140.03090.175010000200003000040000500006000070000-0.1140.03090.175

inception_5b/1x1

Activation

Data shape: [384 7 7]
Mean: 0.12858315
Std deviation: 0.31236422
Value0.001.563.1202000400060008000100001200014000160000.001.563.12

inception_5b/3x3_reduce

Weights (Convolution layer)

159,936 learned parameters

Data shape: [192 832 1 1]
Mean: -0.0033059567
Std deviation: 0.03184385
Value-0.1050.02610.157050001000015000200002500030000-0.1050.02610.157

inception_5b/3x3_reduce

Activation

Data shape: [192 7 7]
Mean: 0.062264156
Std deviation: 0.21404666
Value0.001.002.0101000200030004000500060007000800090000.001.002.01

inception_5b/3x3

Weights (Convolution layer)

663,936 learned parameters

Data shape: [384 192 3 3]
Mean: -0.0018899275
Std deviation: 0.021453863
Value-0.09940.02130.142020000400006000080000100000120000140000160000180000-0.09940.02130.142

inception_5b/3x3

Activation

Data shape: [384 7 7]
Mean: 0.11939834
Std deviation: 0.33000237
Value0.001.783.5702000400060008000100001200014000160000.001.783.57

inception_5b/5x5_reduce

Weights (Convolution layer)

39,984 learned parameters

Data shape: [ 48 832 1 1]
Mean: -0.003261376
Std deviation: 0.031686395
Value-0.126-0.003440.119010002000300040005000600070008000-0.126-0.003440.119

inception_5b/5x5_reduce

Activation

Data shape: [48 7 7]
Mean: 0.075789995
Std deviation: 0.22772057
Value0.000.7341.4702004006008001000120014001600180020000.000.7341.47

inception_5b/5x5

Weights (Convolution layer)

153,728 learned parameters

Data shape: [128 48 5 5]
Mean: -0.001666897
Std deviation: 0.026794376
Value-0.07590.001190.07830200040006000800010000120001400016000180002000022000-0.07590.001190.0783

inception_5b/5x5

Activation

Data shape: [128 7 7]
Mean: 0.10522788
Std deviation: 0.22765598
Value0.000.8061.6105001000150020002500300035004000450050000.000.8061.61

inception_5b/pool

Activation

Data shape: [832 7 7]
Mean: 0.16229959
Std deviation: 0.49688455
Value0.003.406.80050001000015000200002500030000350000.003.406.80

inception_5b/pool_proj

Weights (Convolution layer)

106,624 learned parameters

Data shape: [128 832 1 1]
Mean: -0.001573836
Std deviation: 0.030929653
Value-0.09140.02540.142020004000600080001000012000140001600018000200002200024000-0.09140.02540.142

inception_5b/pool_proj

Activation

Data shape: [128 7 7]
Mean: 0.121579275
Std deviation: 0.31565005
Value0.001.212.42050010001500200025003000350040004500500055000.001.212.42

inception_5b/output

Activation

Data shape: [1024 7 7]
Mean: 0.121343955
Std deviation: 0.31050554
Value0.001.783.570500010000150002000025000300003500040000450000.001.783.57

pool5/7x7_s1

Activation

Data shape: [1024 1 1]
Mean: 0.121343955
Std deviation: 0.27829927
Value0.001.042.0701002003004005006007008000.001.042.07

loss3/classifier

Weights (InnerProduct layer)

2,050 learned parameters

Data shape: [ 2 1024]
Mean: 0.00023290483
Std deviation: 0.02864417
Value-0.06270.001970.0667020406080100120140160-0.06270.001970.0667
Not shown

loss3/classifier

Activation

Data shape: [2]
Mean: 0.11642051
Std deviation: 1.4494555
Value-1.330.1161.5700.10.20.30.40.50.60.70.80.911.1-1.330.1161.57

softmax

Activation

Data shape: [2]
Mean: 0.5
Std deviation: 0.4477926
Value0.05220.5000.94800.10.20.30.40.50.60.70.80.911.10.05220.5000.948
Totals Total learned parameters: 5,975,602